SPIN vs. VIS: a case study on the formal verification of the ATMR protocol
Bibliographic record
Abstract
Nowadays, there exist a wide variety of verification tools. Some, like the SPIN model checker, are designed and mainly used for the verification of interleaving software systems, such as communication protocols. Others, like VIS (Verification Interacting with Synthesis), are designed and used for synchronous hardware systems verification. In this paper, we compare and contrast SPIN and VIS. In particular, we devote a special attention to the efficiency of these tools for the verification of communications protocols that can be implemented either in software or hardware. As a basis of our comparison, we formally describe and verify the ATMR (Asynchronous Transfer Mode Ring) medium access protocol using SPIN, and its hardware implementation using VIS. We believe that this study is of particular interest, as more and more protocols, like the ATM protocol stack, are being implemented in hardware in order to match high speed requirements. However, this is not a formal comparison of SPIN and VIS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".